Insider threats are one of the most complex cybersecurity problems, leading to financial losses, reputational damage, and leakage of critical data. Exabeam New-Scale Analytics effectively addresses this issue by providing an advanced approach to identifying and preventing internal threats using behavioral analysis and machine learning.
New-Scale Analytics: Reliable Protection Against Insider Threats That Threaten Your Business
Insider threats pose a serious problem for any organization. Leakage of confidential data, loss of intellectual property, disruption of operations – all of this can lead to significant financial and reputational losses. Unlike external attacks, insider threats often go unnoticed for long periods because attackers act from within, using legitimate credentials and privileges.
Traditional information security methods, such as firewalls and antivirus programs, are often ineffective against insider threats because they do not take into account the human factor and are not able to detect anomalous user behavior. That is why a modern, proactive approach is needed that allows you to identify and prevent internal threats at an early stage.
Exabeam New-Scale Analytics offers just such an approach. It provides a comprehensive security analytics platform that enables you to detect, investigate, and prevent insider threats, protecting your company’s confidential data and intellectual property.
What is New-Scale Analytics and Why is it Important for Protection Against Insider Threats
New-Scale Analytics is a modern security analytics solution that goes beyond traditional approaches. It uses advanced technologies such as behavioral analysis, machine learning, and contextual analytics to identify and prevent internal threats.
Unlike traditional intrusion detection systems that rely on signature-based analysis and searching for known malware, New-Scale Analytics analyzes user behavior and identifies anomalies that may indicate misconduct. This makes it possible to detect insider threats that do not leave visible traces and cannot be detected by traditional means of protection.
The solution allows you to track and analyze user actions in real time, identifying unauthorized access to sensitive data, suspicious file movements, abnormal use of applications, and other signs of insider activity. New-Scale Analytics aggregates data from various sources, including event logs, network traffic data, and user activity information, to create a complete picture of what is happening in your organization.
A key feature of New-Scale Analytics is its ability to adapt to changing user behavior. The solution uses machine learning to build baseline user behavior profiles and automatically detects deviations from these profiles. This makes it possible to detect insider threats that may arise as a result of changes in employee roles, the acquisition of new privileges, or the influence of external factors.
How New-Scale Analytics Prevents Insider Threats: Practical Examples and Scenarios
Let’s look at some practical examples of how New-Scale Analytics can help prevent insider threats.
Scenario 1: An Employee Planning to Leave and Copying Confidential Files
Suppose a marketing department employee is planning to leave for a competing company and begins copying confidential marketing materials to their personal USB drive. Traditional security systems may not notice this activity because the employee has legitimate access to these files.
New-Scale Analytics, however, is able to detect this anomalous behavior. The solution tracks the user’s actions and detects that they are starting to download a large number of files that they do not normally use in their work. In addition, the solution may detect that the employee has started connecting a USB drive to their computer, which is also a deviation from their normal behavior.
Based on this data, New-Scale Analytics generates an alert about suspicious activity, which is sent to security specialists for further investigation. Specialists can quickly verify the employee’s actions and take measures to prevent data leakage.
Scenario 2: An Employee Who Has Gained Access to Data Not Related to His Duties
Imagine a sales department employee who gains access to confidential financial information that they do not need to perform their job duties. This may indicate an attempt to obtain insider information for personal gain or to transfer it to third parties.
New-Scale Analytics tracks all user actions, including access to files, databases, and applications. The solution detects that a sales employee has accessed financial reports that are normally only viewed by finance department employees. This is an anomaly that generates an alert.
Security specialists can investigate this incident and find out why the sales employee needed access to financial information. If it turns out that the employee has no legitimate reason to access this data, they may be held accountable.
Scenario 3: An Employee Acting Under the Influence of an External Attacker
In this scenario, an attacker gains control of an employee’s account and uses it to gain access to confidential data. The employee may not even suspect that their account has been compromised.
New-Scale Analytics can detect this type of insider threat by analyzing account behavior. The solution may detect that the account is being used from an unusual location, at an unusual time of day, or to perform actions that are atypical for that user. For example, an employee’s account, which usually works in Moscow, suddenly starts being used from abroad. This is a clear sign of compromise.
New-Scale Analytics can also identify actions that indicate an attempt to cover up traces. For example, an attacker may attempt to delete event logs or disable the monitoring system. The solution detects these actions and generates an alert, allowing security specialists to quickly respond to the threat.
In all of these scenarios, New-Scale Analytics plays a key role in identifying and preventing insider threats. The solution not only detects suspicious activity, but also provides security specialists with the information necessary to investigate incidents and take measures to prevent data leakage.
Benefits of Using New-Scale Analytics to Protect Against Insider Threats
Implementing New-Scale Analytics provides a number of significant benefits for your organization:
- Minimizing business risks: The solution helps prevent data leaks and loss of intellectual property, which reduces the risk of financial losses, reputational damage, and legal consequences.
- Improving the overall level of information security and corporate security: New-Scale Analytics provides comprehensive protection against insider threats, strengthening your organization’s overall security system.
- Saving time and resources on detecting and investigating incidents: Automated analysis and alerting systems significantly reduce the time it takes to identify and investigate insider threats, freeing up resources for security specialists.
- Compliance with regulatory requirements and industry standards: New-Scale Analytics helps ensure compliance with various regulatory requirements and industry standards related to data protection and privacy protection. For example, the solution can help comply with GDPR, CCPA and other regulations.
In addition, New-Scale Analytics provides managers with the information necessary to make informed decisions about security risk management. The solution allows you to assess the level of risk associated with various employees and departments and take appropriate measures to reduce it. Company N reduced the time to make changes to security policies by 70% thanks to New-Scale Analytics automation.
Conclusion
Protection Against Insider Threats is a critical task for any organization that seeks to protect its confidential data and intellectual property. Exabeam New-Scale Analytics provides an effective solution to this problem, offering advanced behavioral analysis and machine learning technologies.
New-Scale Analytics is not just a tool for detecting insider threats, it is an investment in the long-term security and competitiveness of your company. Implementing this solution will allow you to reduce business risks, improve the overall level of information security and ensure compliance with regulatory requirements.
Consider New-Scale Analytics as a key tool for protecting against internal threats and don’t let insider threats jeopardize your business. Protect your data and intellectual property with New-Scale Analytics.
Frequently Asked Questions about New-Scale Analytics and Insider Threat Protection
What are insider threats and why are they dangerous?
Insider threats are security threats that originate from people within an organization, such as employees, contractors, or partners. They are dangerous because they can lead to data breaches, financial losses, and reputational damage, often going unnoticed for extended periods.
How does New-Scale Analytics differ from traditional security methods?
Unlike traditional methods such as firewalls and antivirus software, New-Scale Analytics uses behavioral analysis and machine learning to identify anomalous user behavior, enabling the detection of insider threats that are not visible to conventional security measures.
What technologies does New-Scale Analytics use to identify insider threats?
New-Scale Analytics uses behavioral analysis, machine learning, and contextual analytics to monitor user activities, identify anomalies, and predict potential threats.
How does New-Scale Analytics help prevent data leakage by an employee planning to resign?
New-Scale Analytics tracks an employee's actions, identifying, for example, the downloading of a large number of files they don't normally access or the use of personal USB drives, allowing for timely detection and prevention of confidential data leaks.
What happens if an employee gains access to data that is not related to their job responsibilities?
New-Scale Analytics will detect anomalous data access and generate an alert for security professionals, who can investigate the incident and take appropriate action.
Can New-Scale Analytics detect a compromised employee account?
Yes, New-Scale Analytics analyzes account behavior, identifying unusual login locations, atypical activity times, and other signs of possible compromise.
What are the benefits of implementing New-Scale Analytics for insider threat protection?
Implementing New-Scale Analytics minimizes business risks, improves overall information security, saves time and resources on incident detection, and ensures compliance with regulatory requirements.
How does New-Scale Analytics help meet regulatory requirements?
New-Scale Analytics helps ensure compliance with the requirements of various regulators and industry standards related to data protection and privacy, such as GDPR and CCPA.
